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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 23295
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    Explanations

    negatively connotated words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bad" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vig
    -0.71
     extracts
    -0.67
     atmosp
    -0.64
     gearing
    -0.63
     expressions
    -0.63
     concent
    -0.62
     racks
    -0.61
     expression
    -0.61
    ISION
    -0.60
     fold
    -0.60
    POSITIVE LOGITS
    bad
    4.24
    Bad
    2.27
     BAD
    1.75
     Bad
    1.74
     bad
    1.61
    good
    1.50
    evil
    1.29
    wrong
    1.26
    worst
    1.25
    poor
    1.19
    Activations Density 0.012%

    No Known Activations